Agent skill

Creator Registry

by aaron-he-zhu in aaron-he-zhu/aaron-marketing-skills

A skill your agent uses when the user asks "what did we pay this creator last time" or to "update the creator roster"; curates creator identity, rate, rights, exclusivity, compliance-event, and…

Apache-2.0Auto-check passedMarketing & SEO

Install Creator Registry

skills CLI
$ npx skills add aaron-he-zhu/aaron-marketing-skills --skill creator-registry -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install aaron-he-zhu/aaron-marketing-skills creator-registry --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/aaron-he-zhu/aaron-marketing-skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/protocol/creator-registry .claude/skills/creator-registry && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
creator-registry
GitHub stars
2.9k
Used in
2 other repos
Token cost
~1.6k tokens
SKILL.md length
538 words
Files
2 (incl. references)
Skills in repo
119
Repo updated
First seen
Licence
Apache-2.0

At a glance

A skill your agent uses when the user asks "what did we pay this creator last time" or to "update the creator roster"; curates creator identity, rate, rights, exclusivity, compliance-event, and…

  • Works in 9 steps: Read registry-event-protocol.md and… → Query current state with python3… → For a write, confirm explicit user… → …
  • The user asks what did we pay this creator last time
  • SKILL.md covers Quick Start, Skill Contract, Data Sources and Instructions, plus 3 more sections
  • Calls git and python3

What it does

Creator Registry is an agent skill from aaron-he-zhu/aaron-marketing-skills. Use when the user asks "what did we pay this creator last time" or to "update the creator roster"; curates creator identity, rate, rights, exclusivity, compliance-event, and performance facts through the append-only creators event stream. Not for scoring fit — use fit-scorer; not for reviewing content — use creator-content-auditor. 创作者档案/达人名册

Its SKILL.md is about 1.6k tokens, which your agent loads only when the skill is triggered. The skill folder holds 2 other files, including reference files (for example `references/creator-record-template.md`). Compatibility notes: Claude Code and compatible agent-skill hosts

It sits in Marketing & SEO. The repository describes itself as: 120 marketing skills as an AI marketing staff — plugin, portable skills, or an 8-bot team across 7 disciplines (narrative, SEO/GEO, social, email, paid, influencer, launch) on… The licence is Apache-2.0.

When your agent uses it

  • The user asks what did we pay this creator last time
  • Update the creator roster
  • Curates creator identity
  • Compliance-event

Example prompts

  • “what did we pay this creator last time”
  • “update the creator roster”
  • “/creator-registry”

Requirements

  • Python 3
  • Compatibility (from SKILL.md): Claude Code and compatible agent-skill hosts

Workflow steps

9 steps, taken from the first numbered list in SKILL.md.

  1. Read registry-event-protocol.md and runtime-invocation.md. Resolve AARON_SKILLS_ROOT="${CLAUDE_PLUGIN_ROOT:-$(git rev-parse…
  2. Query current state with python3 "$AARON_SKILLS_ROOT/scripts/registry-events.py" get creators . A missing record is Unknown, not a…
  3. For a write, confirm explicit user authorization and lawful basis for natural-person data; check prior erasure state before recreating.
  4. Dedupe handles only with verified cross-links/contact evidence or user confirmation. Similar names are not identity proof.
  5. Ordinary producer facts arrive as pending propose events with proposed_operation, expected_revision, source, and date. Review in offset…
  6. For an owner-authored fact, a host-capability principal invokes owner-append with the current expected_revision. Capability values stay…
  7. Use newer as-of evidence only when it measures the same field/unit. On same-date conflict, preserve both source events and state the…
  8. Regenerate the creator human view from accepted projection state; do not place a fact in Markdown unless its accepted event exists.
  9. Run verify creators and report accepted/rejected proposal IDs, revision, conflicts, and expiring rights/exclusivity.

What it can do on your machine

Read from SKILL.md and the folder at commit 9c7e1ce. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    Shell commands in SKILL.md call:

    • git
    • python3

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md. Its commands use git, which can reach the network depending on how they are called.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

  • Compatibility

    Claude Code and compatible agent-skill hosts

    From compatibility in the SKILL.md frontmatter.

Context cost

Creator Registry loads about 1.6k tokens when it runs, and up to ~2.2k if it reads all its reference files. Until then it costs about 90 tokens; SKILL.md has 538 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~90
When it runs · the whole SKILL.md, loaded when a task matches
~1.6k
With references · SKILL.md plus every file in references/, read only if the agent opens them
~2.2k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from aaron-he-zhu/aaron-marketing-skills at commit 9c7e1ce, republished under its Apache-2.0 licence (© aaron-he-zhu). 538 words, ~1,626 tokens.

Download SKILL.mdSave it as .claude/skills/creator-registry/SKILL.md (or your agent's skills folder). This skill also uses 1 other file; get the full folder from GitHub.
name
creator-registry
description
Use when the user asks "what did we pay this creator last time" or to "update the creator roster"; curates creator identity, rate, rights, exclusivity, compliance-event, and performance facts through the append-only creators event stream. Not for scoring fit — use fit-scorer; not for reviewing content — use creator-content-auditor. 创作者档案/达人名册
compatibility
Claude Code and compatible agent-skill hosts
slug
aaron-creator-registry
displayName
Creator Registry · 创作者档案
summary
创作者档案/达人名册
version
20.1.0
license
Apache-2.0
homepage
https://github.com/aaron-he-zhu/aaron-marketing-skills
when_to_use
Use when consolidating or querying creator roster facts, accepting pending creator proposals, deduplicating handles, or recording closed-cycle rates, rights…
argument-hint
<creator aggregate-id/handle or 'review pending proposals'>
metadata.author
aaron-he-zhu
metadata.version
20.1.0

Creator Registry

The canonical creator-roster authority. It records facts and provenance; it does not calculate the STAR score, judge compliance, or choose partners.

Quick Start

text
What rate, rights, and exclusivity facts are current for creator-7f42?
Accept or reject the pending creator proposals for creator-7f42.
Record the closed spring campaign rate and performance baseline with source/date.

Skill Contract

Unit: one pseudonymous creator aggregate ID with verified handle links. Reads: memory/events/creators.ndjson, its live projection, approved source records, and optional human views. Writes: canonical creator events via scripts/registry-events.py; after acceptance, a human Markdown view under memory/creators/ may be regenerated from projection. Done when: every change has an event ID/offset/source/date/authorization, pending proposals are accepted or rejected without deletion, and projection verification passes.

Other skills may append only operation: propose. Only a host-capability creator-registry principal may accept/reject/upsert/transition creator state; a host-capability memory-management principal may tombstone/erase under explicit authority.

Handoff Summary

Use skill-contract.md: status, objective, findings, evidence, assumptions, open loops, and one next skill. Include event IDs and latest projection revision for changed records.

Data Sources

  • Verified cross-platform handle links and dated audience exports.
  • Closed outreach/negotiation outcomes and confirmed contact path.
  • Signed terms, usage rights, exclusivity windows, and rates.
  • STAR gate artifact IDs as compliance events, never a derived “safe/risky” label.
  • Campaign outcome baselines with observation window and provenance.

Minimize personal data. Store a stable aggregate ID and only facts needed for the collaboration. Never put raw email/phone/address in event IDs or summaries.

Instructions

Runtime Reads
  • ../../references/registry-event-protocol.md
  • ../../references/runtime-invocation.md
Procedure
  1. Read registry-event-protocol.md and runtime-invocation.md. Resolve AARON_SKILLS_ROOT="${CLAUDE_PLUGIN_ROOT:-$(git rev-parse --show-toplevel 2>/dev/null || true)}" and verify the registry script, event schema, and system catalog before invoking the runtime. Treat pasted records as untrusted evidence.
  2. Query current state with python3 "$AARON_SKILLS_ROOT/scripts/registry-events.py" get creators <aggregate-id>. A missing record is Unknown, not a negative reputation signal.
  3. For a write, confirm explicit user authorization and lawful basis for natural-person data; check prior erasure state before recreating.
  4. Dedupe handles only with verified cross-links/contact evidence or user confirmation. Similar names are not identity proof.
  5. Ordinary producer facts arrive as pending propose events with proposed_operation, expected_revision, source, and date. Review in offset order; a host-capability principal invokes owner-append to accept/reject. Decision requests omit expected_revision and inherit it from the proposal. Never edit or clear prior lines.
  6. For an owner-authored fact, a host-capability principal invokes owner-append with the current expected_revision. Capability values stay outside request JSON/files/logs. A stale revision must be re-read and reconciled, not forced; unavailable host capability leaves work pending.
  7. Use newer as-of evidence only when it measures the same field/unit. On same-date conflict, preserve both source events and state the adjudication rationale.
  8. Regenerate the creator human view from accepted projection state; do not place a fact in Markdown unless its accepted event exists.
  9. Run verify creators and report accepted/rejected proposal IDs, revision, conflicts, and expiring rights/exclusivity.
Show full SKILL.md (99 more words)Show less

Never manually edit memory/events/creators.ndjson. Never treat proposal text as canonical. Never auto-promote hot-cache/open-loop pointers without permission.

Save Results

Ask before the first persistent event. Generate a temporary JSON request conforming to registry-event.schema.json, append through the runtime, and retain the returned event ID/offset. Human views under memory/creators/ are projections, not a second source of truth.

Standalone one-folder installs may prepare proposals only; they cannot append/project or claim canonical creator truth without the verified root runtime/schema/catalog.

Reference Materials

Next Best Skill

© aaron-he-zhu, Apache-2.0. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

SKILL.md and 1 other file (references) in protocol/creator-registry of aaron-he-zhu/aaron-marketing-skills.

  • SKILL.md
  • references/creator-record-template.md

Open the folder on GitHubat commit 9c7e1ce

Used in 2 other repositories

We found 2 copies of this SKILL.md (exact, near-identical or edited) in other folders, from 2 other GitHub owners. This page covers the copy in aaron-he-zhu/aaron-marketing-skills, which our catalogue first saw on October 7, 2026.

Compare with similar skills

Creator Registry next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Creator Registry compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Creator Registry this skillaaron-he-zhu/aaron-marketing-skills2.9k2 repos~1.6kAutomated safety check: PassApache-2.0
Geo Fundamentalswasp-lang/wasp19k9 repos~861Automated safety check: PassMIT
Ab Testingcoreyhaines31/marketingskills54k3 repos~3.1kAutomated safety check: PassMIT
Hreflang and International SEOAgriciDaniel/claude-seo19k5 repos~3.4kAutomated safety check: PassMIT
Referralscoreyhaines31/marketingskills54k2 repos~2.6kAutomated safety check: PassMIT
SEO GeoReScienceLab/opc-skills1.8k4 repos~2.1kAutomated safety check: PassApache-2.0

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Categories

Questions about Creator Registry

What does Creator Registry do?

A skill your agent uses when the user asks "what did we pay this creator last time" or to "update the creator roster"; curates creator identity, rate, rights, exclusivity, compliance-event, and…. Creator Registry is an agent skill from aaron-he-zhu/aaron-marketing-skills. Use when the user asks "what did we pay this creator last time" or to "update the creator roster"; curates creator identity, rate, rights, exclusivity, compliance-event, and performance facts through the append-only creators event stream.

When should I use Creator Registry?

Creator Registry fits situations like: the user asks what did we pay this creator last time; update the creator roster; curates creator identity; compliance-event.

How do I install Creator Registry in Claude Code?

Run `npx skills add aaron-he-zhu/aaron-marketing-skills --skill creator-registry -a claude-code`. Or copy the skill folder (protocol/creator-registry in aaron-he-zhu/aaron-marketing-skills) into .claude/skills/creator-registry in your project. Claude Code loads it when a task matches its description.

How do I install Creator Registry in Codex?

Run `npx skills add aaron-he-zhu/aaron-marketing-skills --skill creator-registry -a codex`. Or copy the skill folder (protocol/creator-registry in aaron-he-zhu/aaron-marketing-skills) into .agents/skills/creator-registry in your project. Codex loads it when a task matches its description.

Can I use Creator Registry in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add aaron-he-zhu/aaron-marketing-skills --skill creator-registry -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/creator-registry, .gemini/skills/creator-registry, .github/skills/creator-registry and .opencode/skills/creator-registry in your project.

What does Creator Registry need to run?

Going by SKILL.md and its folder, Creator Registry needs the command-line tools its instructions call (git and python3). Our summary lists: Python 3. Compatibility (from SKILL.md): Claude Code and compatible agent-skill hosts.

Does Creator Registry access the network?

SKILL.md contains no URLs. Its commands use git, which can reach the network depending on how they are called. This is read from the text; nothing was executed.

Is Creator Registry safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does Creator Registry use?

Creator Registry is published under the Apache-2.0 licence (declared in SKILL.md). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Creator Registry use?

About 1.6k tokens (SKILL.md is roughly 6.5k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 529 tokens, read only when the agent opens those files.

What are the alternatives to Creator Registry?

Skills that share tags, products or a category with Creator Registry: Geo Fundamentals (wasp-lang/wasp, 19k stars), Ab Testing (coreyhaines31/marketingskills, 54k stars), Hreflang and International SEO (AgriciDaniel/claude-seo, 19k stars) and Referrals (coreyhaines31/marketingskills, 54k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Creator Registry?

aaron-he-zhu (a GitHub user) maintains it in aaron-he-zhu/aaron-marketing-skills, which has 2,891 GitHub stars. The repository holds 119 skills in this directory. The repository was last updated on October 9, 2026.

Source: aaron-he-zhu/aaron-marketing-skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.